CPS: TTP Option: Synergy: Human-Machine Interaction with Mobility Enhancing Soft Exosuits
Array Array
Lead PI:
Array Array
Co-PI:
Abstract
Stroke is the leading cause of long-term disability in the US with approximately 7 million stroke survivors living in the US today and for patients with neurological disorders, it has been shown that limited gait velocity commonly results in walking that is predominantly restricted to the household. Unlike traditional exoskeletons which contain rigid linkage elements, the vision for this work is for exosuits that use soft materials such as textiles to provide a more conformal, unobtrusive and compliant means to interface to the human body.
Performance Period: 03/01/2015 - 02/29/2020
Institution: Harvard University
Sponsor: National Science Foundation
Award Number: 1446464
CPS: Synergy: Collaborative Research: Towards Effective and Efficient Sensing-Motion Co-Design of Swarming Cyber-Physical Systems
Lead PI:
Wencen Wu
Abstract
The project focuses on swarming cyber-physical systems (swarming CPS) consisting of a collection of mobile networked agents, each of which has sensing, computing, communication, and locomotion capabilities, and that have a wide range of civilian and military applications. Different from conventional static CPS, swarming CPS rely on mobile computing entities, e.g., robots, which collaboratively interact with phenomena of interest at different physical locations. This unique feature calls for novel sensing-motion co-design solutions to accomplish a variety of increasingly complex missions.
Performance Period: 01/01/2015 - 12/31/2017
Institution: Rensselaer Polytechnic Institute
Sponsor: National Science Foundation
Award Number: 1446461
CPS: Synergy: Collaborative Research: Control of Vehicular Traffic Flow via Low Density Autonomous Vehicles
Abstract
In the next few decades, autonomous vehicles will become an integral part of the traffic flow on highways. However, they will constitute only a small fraction of all vehicles on the road. This research develops technologies to employ autonomous vehicles already in the stream to improve traffic flow of human-controlled vehicles. The goal is to mitigate undesirable jamming, traffic waves, and to ultimately reduce the fuel consumption. Contemporary control of traffic flow, such as ramp metering and variable speed limits, is largely limited to local and highly aggregate approaches.
Jonathan Sprinkle

Dr. Jonathan Sprinkle is a Professor of Computer Science at Vanderbilt University. From 2007-2021 he was with the faculty of Electrical and Computer Engineering of the University of Arizona, where he was a Distinguished Scholar and a Distinguished Associate Professor. He served as a Program Director at the National Science Foundation from 2017-2019 in the Computer and Information Science and Engineering Directorate, working with programs such as Cyber-Physical Systems, Smart & Connected Communities, and Research Experiences for Undergraduates.

Performance Period: 01/01/2015 - 12/31/2017
Institution: University of Arizona
Sponsor: National Science Foundation
Award Number: 1446435
CPS: Synergy: Collaborative Research: Designing semi-autonomous networks of miniature robots for inspection of bridges and other large infrastructures
Mehdi Khandani
Lead PI:
Mehdi Khandani
Abstract
Designing semi-autonomous networks of miniature robots for inspection of bridges and other large civil infrastructure According to the U.S. Department of Transportation, the United States has 605102 bridges of which 64% are 30 years or older and 11% are structurally deficient. Visual inspection is a standard procedure to identify structural flaws and possibly predict the imminent collapse of a bridge and determine effective precautionary measures and repairs.
Performance Period: 11/01/2014 - 10/31/2017
Institution: Resensys, LLC
Sponsor: National Science Foundation
Award Number: 1446434
CPS: Synergy: Collaborative Research: Enhanced Structural Health Monitoring of Civil Infrastructure Systems by Observing and Controlling Loads using Cyber-Physical Systems
Lead PI:
Array Array
Abstract
Enhanced Structural Health Monitoring of Civil Infrastructure Systems by Observing and Controlling Loads using a Cyber-Physical System Framework The economic prosperity of the nation is dependent on vast networks of civil infrastructure systems. Unfortunately, large fractions of these infrastructure systems are rapidly approaching the end of their intended design lives. The national network of highway bridges is especially vulnerable to age-based deterioration as revealed by recent catastrophic bridge collapses in the United States.
Performance Period: 01/01/2015 - 12/31/2017
Institution: Stanford University
Sponsor: National Science Foundation
Award Number: 1446330
CPS: Frontier: Collaborative Research: Compositional, Approximate, and Quantitative Reasoning for Medical Cyber-Physical Systems
Rance Cleaveland
Lead PI:
Rance Cleaveland
Abstract
This project represents a cross-disciplinary collaborative research effort on developing rigorous, closed-loop approaches for designing, simulating, and verifying medical devices. The work will open fundamental new approaches for radically accelerating the pace of medical device innovation, especially in the sphere of cardiac-device design. Specific attention will be devoted to developing advanced formal methods-based approaches for analyzing controller designs for safety and effectiveness; and devising methods for expediting regulatory and other third-party reviews of device designs.
Performance Period: 05/01/2015 - 04/30/2020
Institution: University of Maryland College Park
Sponsor: National Science Foundation
Award Number: 1446365
CPS: Frontier: Collaborative Research: Compositional, Approximate, and Quantitative Reasoning for Medical Cyber-Physical Systems
Lead PI:
Elizabeth Cherry
Abstract
This project represents a cross-disciplinary collaborative research effort on developing rigorous, closed-loop approaches for designing, simulating, and verifying medical devices. The work will open fundamental new approaches for radically accelerating the pace of medical device innovation, especially in the sphere of cardiac-device design. Specific attention will be devoted to developing advanced formal methods-based approaches for analyzing controller designs for safety and effectiveness; and devising methods for expediting regulatory and other third-party reviews of device designs.
Performance Period: 05/01/2015 - 04/30/2020
Institution: Rochester Institute of Tech
Sponsor: National Science Foundation
Award Number: 1446312
CPS: Synergy: Collaborative Research: Cyber-Physical Approaches to Advanced Manufacturing Security
Jaime Camelio
Lead PI:
Jaime Camelio
Abstract
The evolution of manufacturing systems from loose collections of cyber and physical components into true cyber-physical systems has expanded the opportunities for cyber-attacks against manufacturing. To ensure the continued production of high-quality parts in this new environment requires the development of novel security tools that transcend both the cyber and physical worlds. Potential cyber-attacks can cause undetectable changes in a manufacturing system that can adversely affect the product's design intent, performance, quality, or perceived quality.
Performance Period: 06/15/2015 - 05/31/2019
Institution: Virginia Polytechnic Institute and State University
Sponsor: National Science Foundation
Award Number: 1446804
CPS: Breakthrough: Development of Novel Architectures for Control and Diagnosis of Safety-Critical Complex Cyber-Physical Systems
Co-PI:
Abstract
Title: CPS: Breakthrough: Development of Novel Architectures for Control and Diagnosis of Safety-Critical Complex Cyber-Physical Systems This project is developing novel architectures for control and diagnosis of complex cyber-physical systems subject to stringent performance requirements in terms of safety, resilience, and adaptivity. These ever-increasing demands necessitate the use of formal model-based approaches to synthesize provably-correct feedback controllers.
Performance Period: 01/01/2015 - 12/31/2017
Institution: University of Michigan Ann Arbor
Sponsor: National Science Foundation
Award Number: 1446298
CPS: TTP Option: Synergy: Collaborative Research: Dependable Multi-Robot Cooperative Tasking in Uncertain and Dynamic Environments
Lead PI:
Kimon Valavanis
Co-PI:
Abstract
Driven by both civilian and military applications, such as coordinated surveillance, search and rescue, underwater or space exploration, manipulation in hazardous environments, and rapid emergency response, cooperative actions by teams of robots has emerged as an important research area. However, the coordination strategies for such robot teams are still developed to a great extent by trial-and-error processes. Hence, the strategies cannot guarantee mission success.
Performance Period: 01/01/2015 - 12/31/2017
Institution: University of Denver
Sponsor: National Science Foundation
Award Number: 1446285
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